Washington, DC, United States of America

Maxwell Gotsch

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Maxwell Gotsch: Innovator in Risk Assessment Technology

Introduction

Maxwell Gotsch is an accomplished inventor based in Washington, DC. He has made significant contributions to the field of machine learning and risk assessment. His innovative approach to algorithmically proposed risks has garnered attention in the tech industry.

Latest Patents

Maxwell holds a patent for a "Method for scoring confidence of an algorithmically proposed risk." This patent outlines a system, method, and computer program product for training and deploying a machine learning model. The model generates assessments of risks and mitigations in response to novel initiative requests. By generating labeled data from prior risk assessments, the model can programmatically create risk assessments. A risk auditor reviews these assessments to provide feedback, which is then used to retrain the model for improved accuracy in future initiatives. Maxwell's patent represents a significant advancement in the field of risk management.

Career Highlights

Maxwell Gotsch is currently employed at Capital One Services, LLC, where he applies his expertise in machine learning and risk assessment. His work focuses on developing innovative solutions that enhance the accuracy and reliability of risk evaluations. With a strong background in technology and risk management, Maxwell has established himself as a key player in his field.

Collaborations

Maxwell collaborates with talented individuals such as Samuel Rapowitz and Joshua Peters. Together, they work on projects that push the boundaries of risk assessment technology and machine learning applications.

Conclusion

Maxwell Gotsch is a notable inventor whose work in risk assessment technology is paving the way for more accurate and efficient evaluations. His contributions to the field are invaluable, and his innovative spirit continues to inspire advancements in machine learning.

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